medusa-mcp

[](https://mseep.ai/app/sgfgov-medusa-mcp) # `medusa-mcp` ## Overview `medusa-mcp` is a **Model Context Protocol (MCP) server** designed for integration with the Medusa JavaScript SDK. It provides a scalable backend layer for managing and interacting with Medusa’s data models, enabling automation, orchestration, and intelligent service extensions. --- ## 🧩 What is an MCP Server? An **MCP server** is a modular, extensible backend that: - Enables **real-time service orchestration** - Supports **standardized, high-throughput communication** - Acts as a **bridge between AI/automation tools and real-world systems** These servers are used in areas like AI, IoT, and enterprise software to connect various services and automate tasks using standardized protocols like JSON-RPC. ### 🔑 Key Features - **Modular Architecture** – Composable services for flexibility - **High Efficiency** – Optimized for speed and scale - **Extensible Design** – Add new capabilities easily - **Cross-Environment Deployment** – Cloud, on-prem, or hybrid - **AI-Ready Interfaces** – Integrate LLMs and tools seamlessly ### 🧠 Role in AI Systems MCP servers allow AI agents to: - Access real-time data from APIs, files, or databases - Automate business processes (e.g., order fulfillment, pricing updates) - Interact with external services in a secure and controlled way --- --- ## 🚀 Medusa JS + MCP Using `medusa-mcp`, Medusa JS can: - Automate workflows (e.g., inventory or pricing adjustments) - Connect with external tools (email, analytics, etc.) - Use AI agents to analyze trends and trigger actions - Enable scalable, modular architecture for commerce platforms --- ## ✨ Features - ✅ **Model Context Protocol (MCP)** support - 📈 **Scalable** infrastructure - 🧱 **Extensible** plugin architecture - 🔗 **Integrated** with Medusa JS SDK --- ## 🛠️ Installation Clone the repository and install dependencies: ```bash npm install ``` Build the project: ```bash npm run build ``` --- ## ▶️ Usage Start the server: ```bash npm start ``` Test using the MCP Inspector: ```bash npx @modelcontextprotocol/inspector ./dist/index.js ``` > **Note:** Restart the Inspector and your browser after each rebuild. --- ## 🌍 Environment Variables | Variable | Description | |-----------------------|--------------------------------------| | `MEDUSA_BACKEND_URL` | Your Medusa backend URL | | `PUBLISHABLE_KEY` | Your Medusa publishable API key | | `MEDUSA_USERNAME` | Medusa admin username (for admin) | | `MEDUSA_PASSWORD` | Medusa admin password (for admin) | Server runs at: [http://localhost:3000](http://localhost:3000) --- ## 🧠 Architecture Diagram Here's how the `medusa-mcp` server fits into a typical setup with Medusa JS and external systems: ``` +-------------------------+ | AI Assistant / | | LLM / Automation | +-----------+-------------+ | v +--------------+--------------+ | MCP Server (medusa-mcp) | |-----------------------------| | - JSON-RPC Communication | | - AI-Ready Interface | | - Plugin Support | +------+----------------------+ | + | v +-------------------+ | Medusa Backend | | (Products, Orders)| +-------------------+ | | v +--------------+ | Medusa Store | | Frontend | +--------------+ | | v +-------------------------+ | External Services / API | | (e.g., Payments, Email) | +-------------------------+ ``` ## 🧪 Customization To tailor the server to your Medusa setup: > Replace `admin.json` and `store.json` with your own OAS definitions for fine-grained control. - Replace the OpenAPI schemas in the `oas/` folder: - `admin.json` – Admin endpoints - `store.json` – Storefront endpoints Use the [`@medusajs/medusa-oas-cli`](https://www.npmjs.com/package/@medusajs/medusa-oas-cli) to regenerate these files. You can also **fork this project** to build your own custom MCP-powered Medusa integration. --- ## 🤝 Contributing We welcome contributions! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) guide. --- ## 📄 License This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.